Which of the following is a key benefit of Splunk's schema at read approach?

The key benefit of Splunk's schema at read approach is its flexibility in querying diverse data types. This approach allows users to index data without a predefined schema, meaning data can be ingested in its raw form. As a result, users can perform searches and analyze the data in various ways, adapting their queries to fit different use cases and insights. This flexibility is particularly advantageous when dealing with complex or unstructured data, as it enables users to extract meaningful information without being constrained to a rigid schema established at the time of data ingestion.

The other options do not capture this significant benefit. For instance, increased complexity in data retrieval does not align with the primary advantage of ease of use that the schema at read approach provides. Immediate data normalization at ingest pertains more to a schema-on-write approach, which is not what Splunk employs. Lastly, reduced storage requirements are not inherently related to the schema at read strategy; storage efficiency often depends on how data is compressed and managed, rather than the schema flexibility provided during querying.